AI technology that accurately predicts the number of patient admissions

Summary: 

Using the AI tool, the hospital predicted patient admissions with 95 percent accuracy, reduced wait times and also generated annual savings of $2.5 million (USD).

Clients: 

Queensland Health, and several other health services across Australia

Problem Statement: 

Bed capacity management is a key aspect of hospital performance management. By using predicted bed demand data, hospitals can improve bed utilization, reduce access issues, and enhance forward planning. Additionally, forecasting daily emergency and elective operating hospital caseloads is essential for improving patient access to surgery and optimizing hospital management.

Results: 

• Reduction in wait times by 20 percent.
• Ability to predict patient admissions with 95 percent accuracy. 
• Annual savings of $2.5 million (USD).

AI Solution Overview:

In collaboration with the Commonwealth Scientific and Industrial Research Organization (CSIRO), Queensland hospitals developed the Patient Admission Prediction Tool (PAPT), an AI-based tool that uses advanced algorithms to analyze historical data and detect patterns in patient flow. PAPT can identify spikes in patient activity over short periods, providing predictions with up to 95 percent accuracy. This high level of accuracy allows hospitals to optimize resources, prepare for peak periods, and, most importantly, enhance patient care.

References: 

1. Queensland Case Study: Predictions of Patient Admissions. https://aiworld.guru/queensland-case-study/
2. APT: Patient Admissions Prediction Tool. Retrieved from https://healthmanagement.org/c/icu/issuearticle/papt-patient-admissions-prediction-tool 
3. Exemplars of Artificial Intelligence and Machine Learning in Healthcare Improving the safety, quality, efficiency and accessibility of Australia’s healthcare system. https://aehrc.csiro.au/wp-content/uploads/2021/10/Exemplars-AI-in-Health-July-2020.pdf

Industry: Public Services (Healthcare)

Vendor: The Commonwealth Scientific and Industrial Research Organization (CSIRO) 

Clients: Queensland Health, and several other health services across Australia

Publication Date: 2011